9mm9mm — CS2 Stats

RU76561199189314791[U:1:1229049063]Steam profile ↗✓ No bans

267Tracked matches55%Win rate2024Tracked since

CSDB Rating6.9 SolidHybrid Rifler

FaceitLevel 10 · 2,025 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim94

Positioning54

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY55–37–8Last 10055%Win rateLWWLWLLWLL

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim9.4

Aggression6.2

Utility4.9

Positioning5.4

Opening Duels1.7

Clutch4.2

Sharp aimerExcellent counter-strafingStrong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like b1t 95% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 47% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim9.4

Positioning5.4

Utility4.9

Mechanics9.1

Opening Duels2.1

Win Impact6.7

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04−0.04

first ⅓ avg 0.08 → last ⅓ avg 0.04

Reaction time582ms−61ms

first ⅓ avg 643ms → last ⅓ avg 582ms

Headshot accuracy30.1%−2.8%

first ⅓ avg 32.9% → last ⅓ avg 30.1%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.21Best rating — dust2 13–6

13–0Biggest win — mirage

9Longest win streak

2–5In matches decided by ≤2 rounds

4Overtime games

Map breakdown

anubisBest map · 80% over 5ancientWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	30	17–13	57%	0.06
mirage	B	30	15–15	50%	0.04
inferno	S	18	12–6	67%	0.08
ancient	D	7	2–5	29%	0.06
overpass	B	6	3–3	50%	0.07
anubis	S	5	4–1	80%	0.07
nuke	—	2	1–1	50%	0.04
cache	—	2	1–1	50%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

288Matches

58%Win rate

1.35Avg K/D

94.3ADR

56%Headshot %

Clutches & streaks

41%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	85	59%	1.40	18.8
Mirage	77	62%	1.29	19.6
Inferno	35	69%	1.45	18.5
Anubis	30	53%	1.31	20.2
Ancient	25	44%	1.25	20.1
Cache	15	67%	1.29	17.7
Nuke	11	27%	1.15	19.0
Overpass	5	60%	1.62	22.8

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

30.1%Headshot accuracy

39.3%Accuracy (enemy spotted)

40.8%Spray accuracy

91.1%Counter-strafing

8.4°Preaim

578msReaction time

26.6%T opening success

47.1%CT opening success

0.57Enemies flashed / flash

7.5%Flash assists

9.16HE damage / grenade

6.72Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 26.5769% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	12–16	0.10	23%	28 Aug →
nuke	13–4	0.08	48%	28 Aug →
cache	13–6	0.02	27%	20 Aug →
nuke	10–13	-0.01	19%	18 Aug →
inferno	13–5	0.01	13%	16 Aug →
dust2	10–13	0.06	19%	12 Aug →
ancient	13–16	0.01	17%	10 Aug →
inferno	13–3	0.01	29%	9 Aug →
mirage	7–13	-0.02	32%	5 Aug →
dust2	7–13	0.07	35%	5 Aug →
dust2	15–15	0.02	21%	4 Aug →
dust2	13–8	0.03	47%	3 Aug →
dust2	13–5	0.06	41%	3 Aug →
cache	11–13	-0.00	28%	2 Aug →
inferno	6–13	-0.03	33%	12 Jun →
mirage	0–6	0.01	33%	6 Jun →
ancient	11–13	0.08	24%	31 May →
dust2	13–11	0.01	27%	17 May →
ancient	13–9	0.13	26%	17 May →
inferno	13–10	0.01	34%	17 May →
mirage	13–8	0.05	31%	16 May →
inferno	13–9	0.14	35%	11 May →
mirage	6–13	0.02	29%	11 May →
inferno	13–9	0.10	38%	9 May →
inferno	13–7	0.05	36%	9 May →
ancient	13–3	0.18	27%	9 May →
mirage	13–6	-0.02	37%	8 May →
dust2	11–13	-0.01	39%	8 May →
mirage	8–13	0.13	39%	8 May →
dust2	13–9	-0.02	32%	4 May →
dust2	13–9	0.05	29%	4 May →
dust2	13–8	0.08	20%	4 May →
mirage	8–13	-0.02	24%	3 May →
ancient	7–13	-0.01	35%	2 May →
dust2	7–13	0.06	41%	2 May →
mirage	10–13	-0.01	37%	2 May →
overpass	7–13	-0.03	34%	2 May →
dust2	13–6	0.08	34%	2 May →
inferno	10–13	0.05	32%	2 May →
ancient	10–13	0.05	32%	1 May →
mirage	13–6	0.01	26%	1 May →
mirage	3–13	0.01	29%	30 Apr →
mirage	0–13	-0.07	10%	30 Apr →
dust2	13–10	0.03	43%	30 Apr →
mirage	11–13	0.06	37%	30 Apr →
dust2	13–16	-0.01	27%	29 Apr →
mirage	8–13	0.04	33%	28 Apr →
mirage	13–3	0.10	32%	28 Apr →
mirage	13–5	0.05	39%	28 Apr →
dust2	11–13	0.03	50%	27 Apr →
mirage	13–7	0.10	60%	27 Apr →
ancient	6–13	0.00	26%	27 Apr →
overpass	7–13	0.03	17%	27 Apr →
dust2	13–4	0.04	48%	26 Apr →
mirage	13–6	0.02	45%	26 Apr →
dust2	5–13	0.02	37%	25 Apr →
inferno	13–2	0.07	37%	25 Apr →
inferno	13–4	0.03	27%	25 Apr →
mirage	13–2	0.13	15%	25 Apr →
dust2	13–5	0.13	44%	9 Apr →
mirage	13–1	0.08	42%	4 Apr →
mirage	12–3	0.06	26%	25 Mar →
inferno	13–4	0.11	38%	22 Mar →
dust2	13–7	-0.05	25%	21 Mar →
inferno	13–5	0.19	33%	7 Mar →
dust2	1–13	0.10	25%	7 Mar →
overpass	12–12	0.18	25%	6 Mar →
dust2	13–6	0.21	28%	6 Mar →
dust2	10–13	0.04	38%	4 Mar →
anubis	13–10	0.01	26%	4 Mar →
mirage	3–13	0.02	45%	1 Mar →
mirage	5–13	0.11	42%	1 Mar →
anubis	13–10	0.05	36%	1 Mar →
inferno	5–13	0.18	39%	1 Mar →
mirage	13–2	0.14	35%	1 Mar →
overpass	13–5	-0.03	27%	28 Feb →
mirage	13–2	0.05	21%	28 Feb →
mirage	13–0	0.11	27%	28 Feb →
inferno	9–6	0.18	30%	28 Feb →
inferno	9–5	0.10	33%	28 Feb →
dust2	12–12	0.15	29%	28 Feb →
mirage	12–12	0.02	37%	27 Feb →
inferno	12–12	0.04	30%	27 Feb →
dust2	13–9	0.01	33%	27 Feb →
anubis	13–2	0.06	21%	26 Feb →
overpass	13–11	0.07	30%	25 Feb →
anubis	6–13	0.08	29%	25 Feb →
mirage	12–12	0.10	58%	25 Feb →
dust2	12–12	0.06	39%	24 Feb →
inferno	5–13	0.10	36%	24 Feb →
dust2	13–3	-0.00	15%	24 Feb →
mirage	1–13	-0.09	22%	23 Feb →
overpass	9–2	0.19	28%	22 Feb →
dust2	13–6	0.12	43%	22 Feb →
mirage	13–6	0.05	26%	21 Feb →
anubis	13–7	0.18	42%	20 Feb →
dust2	12–12	0.10	45%	20 Feb →
dust2	13–1	0.15	28%	19 Feb →
dust2	13–6	0.21	50%	16 Feb →
mirage	13–2	0.02	14%	4 Feb →